Choose what to get done
Compute Viral Coefficient and Loop-Driven User Growth
A founder learns their viral K-factor and the cumulative users a seed cohort generates across viral cycles, so they can judge whether the product can grow on the viral engine alone.
Content distribution checklist
A deduplicated checklist of real destinations (communities, forums, groups, syndication spots) to post to, each with a well-formed link, an accepted format, and a cadence, spread across enough format types.
Cyclomatic complexity with refactor flags
McCabe cyclomatic complexity per function from its control-flow graph, with a refactor flag for any that exceed your threshold.
Decision-rights and single-threaded-owner register
Every critical decision and deliverable has exactly one named accountable owner, with advisers/consulted/informed parties and an escalation path explicitly recorded, eliminating diffused 'chicken' accountability.
Defect density per module with ranked hotspots
Defect density per module against your chosen size unit, the overall density, and a ranking of the most defect-dense modules.
Defect removal efficiency
Defect Removal Efficiency from pre-delivery vs escaped defect counts, with an optional per-phase breakdown.
Demand-gen lead-stage definition register
The buyer gets a register where each required lead stage (e.g. MCL, MEL, MQL, SQL) has a definition, a funnel phase, an owning team, an entry criterion, and a lead-score threshold, with thresholds increasing down the funnel.
Deploy pipeline and hosting
The app is deployed and the health endpoint returns 200.
Deploy runbook with rollback
An ordered, role-assigned deploy runbook with preflight checks, deploy steps, verification, and a rollback path that every failure step routes to.
Design a cheap parallel channel-test plan with pass/fail thresholds
I get a parallel channel-test plan where each test has a metric, a small budget, a duration, and a clear pass threshold, so I can run cheap experiments and read the results the same way.
Design a conjoint analysis attribute/level/profile set
I get a runnable conjoint design: an attribute/level grid that respects the 6-7 attribute ceiling and >=2 levels per attribute, plus choice tasks of valid, non-duplicate profiles built only from those levels.
Design a Good-Better-Best SaaS package structure
I get a clean Good-Better-Best tier table where every feature is placed once, each tier targets a distinct segment, and higher tiers strictly contain lower-tier features (monotonic gradation).
You are not what you make. You are the one who can make it.
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